Suchergebnisse - Picture and Image Generation – Viewing algorithms Keywords

Digital pathology in veterinary clinical pathology: A review.

Autoren: Piccione, Julie Anderson, Stephanie F. Neal, Samuel V. et al.

Quelle: Veterinary Pathology. Sep2025, Vol. 62 Issue 5, p631-645. 15p.

Real time 3d avatar for interactive mixed reality

Autoren: Sang-yup Lee Ig-jae Kim Sang C Ahn et al.

Weitere Verfasser: Sang-yup Lee Ig-jae Kim Sang C Ahn et al.

Quelle: http://www.imrc.kist.re.kr/~kij/VRCAI_2004.pdf.

Schlagwörter: CR Categories, I.3.2 [Computer Graphics, Picture/Image Generation – Viewing Algorithms Keywords, image based rendering, 3D reconstruction, IR keying, interaction, mixed

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.1277; http://www.imrc.kist.re.kr/~kij/VRCAI_2004.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.1277
http://www.imrc.kist.re.kr/~kij/VRCAI_2004.pdf

A Case Study on Interactive Exploration and Guidance Aids for Visualizing Historical Data

Autoren: Stanislav L. Stoev Wolfgang Straßer The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Stanislav L. Stoev Wolfgang Straßer The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.gris.uni-tuebingen.de/publics/paper/Stoev-2001-ACase.pdf.

Schlagwörter: CR Categories, D.2.2 [Software Engineering, Design Tools and Techniques H.5.2 [Information Interfaces and Presentation, User Interfaces I.3.3 [Computer Grphics, Picture/Image Generation— Viewing algorithms Keywords, Visualization, Historical Data, Interaction, Timedependent Data, Visualization Techniques

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.4530

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.4530
http://www.gris.uni-tuebingen.de/publics/paper/Stoev-2001-ACase.pdf

The Relationship Between Social Media Use and Disordered Eating in Young Adults Aged 18–30: A Narrative Review.

Autoren: Athanasoula, Danai Salpa, Aikaterini Apergi, Fotini Sonia et al.

Quelle: Nutrients. Oct2025, Vol. 17 Issue 20, p3288. 16p.

Seeing Is Craving: Neural Dynamics of Appetitive Processing During Food-Cue Video Watching and Its Impact on Obesity.

Autoren: Han, Jinfeng Zhuang, Kaixiang Dong, Debo et al.

Quelle: Nutrients. Aug2025, Vol. 17 Issue 15, p2449. 23p.

Image-Based Rendering in the Gradient Domain

Autoren: Johannes Kopf Fabian Langguth Daniel Scharstein et al.

Weitere Verfasser: Johannes Kopf Fabian Langguth Daniel Scharstein et al.

Quelle: http://research.microsoft.com/en-us/um/people/kopf/gdibr/paper/gradient_domain_IBR.pdf.

Schlagwörter: CR Categories, I.3.3 [Computer Graphics, Picture/Image Generation—Viewing algorithms Keywords, Image-based rendering, gradient domain processing Links, DL PDF WEB VIDEO CODE

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.410.6398

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.410.6398
http://research.microsoft.com/en-us/um/people/kopf/gdibr/paper/gradient_domain_IBR.pdf

Day-to-Night Street View Image Generation for 24-Hour Urban Scene Auditing Using Generative AI.

Autoren: Liu, Zhiyi Li, Tingting Ren, Tianyi et al.

Quelle: Journal of Imaging; May2024, Vol. 10 Issue 5, p112, 25p

A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications.

Autoren: Zhang, Yumin Wang, Yanyong

Quelle: EURASIP Journal on Image & Video Processing; 8/13/2025, Vol. 2025 Issue 1, p1-65, 65p

Schlagwörter: HUMAN activity recognition, COMPUTER vision, DEPTH maps (Digital image processing), ALGORITHMS, TRANSFORMER models, RECURRENT neural networks, DEEP learning, CONVOLUTIONAL neural networks

Feature Matching-Based Undersea Panoramic Image Stitching in VR Animation.

Autoren: Tang, Yawen Ren, Jianhong

Quelle: International Journal of Image & Graphics; Sep2025, Vol. 25 Issue 5, p1-19, 19p

A Systematic Review of Advances in AI-Assisted Analysis of Fundus Fluorescein Angiography (FFA) Images: From Detection to Report Generation.

Autoren: Yu, Tao Shao, An Wu, Hongkang et al.

Quelle: Ophthalmology & Therapy; Apr2025, Vol. 14 Issue 4, p599-619, 21p

Schlagwörter: ARTIFICIAL intelligence, MACHINE learning, FLUORESCENCE angiography, DATA privacy, DEEP learning

Super-Resolution Correction Method for Substation Infrared Image Non-uniformity Based on Adaptive Learning Rate CNN.

Autoren: Ding, Kuiping Ma, Bo Zhang, Hailong et al.

Quelle: Sensing & Imaging; 12/8/2025, Vol. 26 Issue 1, p1-26, 26p

Camera Model Design

Autoren: Voicu Popescu The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Voicu Popescu The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.purdue.edu/cgvlab/papers/popescu/popescuCameraModelDesign.pdf.

Schlagwörter: CR Categories, I.3.m. [Computer Graphics, Picture/Image Generation – Viewing algorithms. Keywords, camera model, interactive 3D computer graphics

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.414.9555; http://www.cs.purdue.edu/cgvlab/papers/popescu/popescuCameraModelDesign.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.414.9555
http://www.cs.purdue.edu/cgvlab/papers/popescu/popescuCameraModelDesign.pdf

Infrared-optical image segmentation using a potts prior and hierarchical bayesian model.

Autoren: Li, Wang Puhan, Zhao Ning, Chu et al.

Quelle: EURASIP Journal on Image & Video Processing; 9/25/2025, Vol. 2025 Issue 1, p1-23, 23p

Schlagwörter: INFRARED imaging, IMAGE segmentation, INDUSTRIAL applications, STOCHASTIC models, OPTICAL images, TEMPERATURE sensors, BAYESIAN analysis

Abstract Segment-Based Tetrahedral Meshing and

Autoren: Ralf Sondershaus The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Ralf Sondershaus The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.gris.uni-tuebingen.de/people/staff/rsonders/Paper/Sondershaus_06_Graphite_MTSegTetra.pdf.

Schlagwörter: Graphics, Picture/Image Generation—Viewing algorithms Keywords, tetrahedral meshes, simplification, multi-resolution meshes, volume

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.1147

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.1147
http://www.gris.uni-tuebingen.de/people/staff/rsonders/Paper/Sondershaus_06_Graphite_MTSegTetra.pdf

Performance Evaluation of Four Deep Learning-Based CAD Systems and Manual Reading for Pulmonary Nodules Detection, Volume Measurement, and Lung-RADS Classification Under Varying Radiation Doses and Reconstruction Methods.

Autoren: Chen, Sifan Gao, Lingqi Tan, Maolu et al.

Quelle: Diagnostics (2075-4418); Jul2025, Vol. 15 Issue 13, p1623, 17p

Schlagwörter: PULMONARY nodules, COMPUTER-aided diagnosis, CLASSIFICATION algorithms, VOLUME measurements, DEEP learning

UHGAN: a dual-phase GAN with Hough-transform constraints for accurate farmland road extraction.

Autoren: Wang, Xinliang Ma, Yuan

Quelle: Frontiers in Neurorobotics; 2025, p1-14, 14p

Schlagwörter: HOUGH transforms, GENERATIVE adversarial networks, RURAL planning, AGRICULTURAL mapping, PRECISION farming, CONVOLUTIONAL neural networks, IMAGE segmentation

Seamless Visual Abstraction of Molecular Surfaces

Autoren: Julius Parulek Timo Ropinski The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Julius Parulek Timo Ropinski The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-Paper.pdf.

Schlagwörter: ICS, Picture/Image Generation—Viewing algorithms Keywords, Visualization of Molecular Surfaces, Implicit Sur- faces, Level-of-detail

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.9538

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.9538
http://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-Paper.pdf

Software-Based Transformation of White Light Endoscopy Images to Hyperspectral Images for Improved Gastrointestinal Disease Detection.

Autoren: Huang, Chien-Wei Su, Chang-Chao Chou, Chu-Kuang et al.

Quelle: Diagnostics (2075-4418); Jul2025, Vol. 15 Issue 13, p1664, 19p

Schlagwörter: CAPSULE endoscopy, NOSOLOGY, GASTROINTESTINAL diseases, ULCERATIVE colitis, DEEP learning

Visual Attention-Based Polygon Level of Detail Management

Autoren: Ross Brown The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Ross Brown The Pennsylvania State University CiteSeerX Archives

Quelle: http://eprints.qut.edu.au/archive/00002266/01/2266_1.pdf.

Schlagwörter: CR Categories, I.3.7 (Three-Dimensional Graphics and Realism, Animation, Virtual reality, I.3.3 (Picture/Image Generation) Display algorithms, Viewing algorithms. Keywords, Visual Attention, Level of Detail Management, Realtime Graphics

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.3661; http://eprints.qut.edu.au/archive/00002266/01/2266_1.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.3661
http://eprints.qut.edu.au/archive/00002266/01/2266_1.pdf

Leveraging Thermal Infrared Imaging for Pig Ear Detection Research: The TIRPigEar Dataset and Performances of Deep Learning Models.

Autoren: Ma, Weihong Wang, Xingmeng Yang, Simon X. et al.

Quelle: Animals (2076-2615); Jan2025, Vol. 15 Issue 1, p41, 26p

Schlagwörter: OBJECT recognition (Computer vision), THERMOGRAPHY, INFRARED imaging, DETECTION algorithms, INFRARED technology, DEEP learning